Package: SpaceTimeBSS 0.4-0

Klaus Nordhausen

SpaceTimeBSS: Blind Source Separation for Multivariate Spatio-Temporal Data

Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.

Authors:Christoph Muehlmann [aut], Nikolaus Piccolotto [aut], Claudia Cappello [aut], Sandra De Iaco [aut], Klaus Nordhausen [aut, cre]

SpaceTimeBSS_0.4-0.tar.gz
SpaceTimeBSS_0.4-0.tar.gz(r-4.5-noble)SpaceTimeBSS_0.4-0.tar.gz(r-4.4-noble)
SpaceTimeBSS_0.4-0.tgz(r-4.4-emscripten)SpaceTimeBSS_0.4-0.tgz(r-4.3-emscripten)
SpaceTimeBSS.pdf |SpaceTimeBSS.html✨
SpaceTimeBSS/json (API)

# Install 'SpaceTimeBSS' in R:
install.packages('SpaceTimeBSS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • meteo_veneto - Climate and Meteorological Deseasonalized Data in Veneto

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.00 score 7 dependencies 941 downloads

Last updated 4 months agofrom:c526dd416a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 29 2024
R-4.5-linux-x86_64OKAug 29 2024

Exports:lacovstbssstkmat

Dependencies:clueclusterJADElatticeMatrixRcppRcppArmadillo